Joseph R. Grajo

2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Joseph R. Grajo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ron Kohavi

Papers from Joseph R. Grajo's perspective

Ordered by how strongly the researchers Joseph R. Grajo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Fully convolutional networks for semantic segmentation
  4. Pattern Recognition and Machine Learning
  5. Foundations of Machine Learning
  6. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  7. Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation
  8. Least Squares Support Vector Machine Classifiers
  9. Classification and Regression by randomForest
  10. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

Their papers